Qwen2.5 1.5B Kabyle Dialog v8
This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the None dataset.
Fuente del modelo
- Tipo
- Checkpoint, LoRA
- Tamaño del archivo
- 1,35 KB–141 MB
- Modelo base
- Qwen/Qwen2.5-1.5B-Instruct
- Versión
- vRevision ec64082
- Actualizado
- 1 oct 2026
- Descargas
- 9
- Tareas
- Generación de texto
- Fuente
- Hugging Face
Descripción de la fuente
Qwen2.5-1.5B-Kabyle-Dialog-v8
This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 150
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.19.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 1 oct
Artefactos del modelo
3 artefactos
Artefactos del modelo
3 artefactosExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- library_name: peft license: apache-2.0 base_model: Qwen/Qwen2.5-1.5B-Instruct tags: - base_model:adapter:Qwen/Qwen2.5-1.5B-Instruct - lora - transformers pipeline_tag: text-generation model-index: - name: Qwen2.5-1.5B-Kabyle-Dialog-v8 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # Qwen2.5-1.5B-Kabyle-Dialog-v8 This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the None dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0001 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 16 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 150 - num_epochs: 1 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.19.1 - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 5.0.0 - Tokenizers 0.22.2
Source context: 9 downloads · 0 likes · Pipeline text-generation · Library peft · Repo kmerakeb/Qwen2.5-1.5B-Kabyle-Dialog-v8
Source context: 1144 downloads · 0 likes · Pipeline text-generation · Library peft · Repo kmerakeb/Qwen2.5-1.5B-Kabyle-Dialog-v8
